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Intel® RealSense™ SDK
Making picking dates more fun and DRY. http://aPlayfulDate.com
Get data about schools. Clearly a school can't be boiled down to just a bunch of data points, but it's a better starting point than just reading 5 opinions on the internet
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
ROS packages for xArm series from UFACTORY
Learning RL for robots by doing
Storing some learning files
[UNMAINTAINED] Automated machine learning for analytics & production
We want you to learn TurtleBot (and Robotics)!
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…
Tracking machine learning: reconciling predictions at training time and serving time, tracking feature inputs and discrepancies over time, and more
Distributed Asynchronous Hyperparameter Optimization in Python
Automated NLP sentiment predictions- batteries included, or use your own data
Use evolutionary algorithms instead of gridsearch in scikit-learn
A fast and parallel implementation of the k-Nearest-Neighbour Search under the Dynamic Time Warping Metric
A curated list of awesome Machine Learning frameworks, libraries and software.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
NNabla - Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC cluste…
Automated deep neural network design via genetic programming
A curated list of awesome Python frameworks, libraries, software and resources
scikit-learn: machine learning in Python
Kaggle Python docker image
Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.
Source files for the neveragain.tech site